ArticlePloS one2023
Effects of personal and interpersonal factors on changes of food choices and physical activity among college students.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Extending the stimulus organism response model with exercise habits to explain consumer purchase intentions for alternative foods.Scientific reports · 2026Article
- The mediating role of physical exercise in the relationship between university students' interpersonal disturbance and conflict resolution strategies.Frontiers in psychology · 2026Article
- Population-Level Analysis of Personalized Food Recommendation Using Reinforcement Learning.Foods (Basel, Switzerland) · 2025Article
- Adopting vegetarian and vegan eating patterns: Associations with disordered eating behaviors among young adult college students.Eating behaviors · 2025Article
- Identifying barriers to physical activity participation and engagement among college students in Riyadh (Saudi Arabia): gender differences in perceived barriers.Frontiers in sports and active living · 2025Article
- The impact of health promotion training on university students' health perceptions, healthy lifestyle behaviors, and risky behaviors.Frontiers in psychology · 2024Article
- The relationships between emerging adults self-efficacy and motivation levels and physical activity: a cross-sectional study based on the self-determination theory.Frontiers in psychology · 2024Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth behaviors developed in the college years tend to persist in adulthood. However, distinct changing patterns of food choices and physical activity (PA) and their predictors are still less clear among college students. The current study sought to explore changes of food choices and PA, as well as the effects of personal and interpersonal factors.
methodTwo-wave longitudinal data was collected from a sample of 431 Chinese college students (Mean baseline age = 19.15 ± 0.61 years; 45.7% male). A validated self-reported food frequency questionnaire was used to assess the frequency of food choices. The Chinese revised version of physical activity rating scale was used to assess physical activity. Latent profile analysis, latent transition analysis, and multinomial logistic regression analysis were used to analyze the data.
resultsTwo profiles of food choices, i.e., Avoiding staples (5.1% at Time 1) and Varied diet (94.9% at Time 1), were identified at both timepoints. 90.9% remained the same profiles over time, 63.6% participants in the Avoiding staples profile shifted to the Varied diet profile, and only 6.3% of those in the Varied diet profile shifted to the Avoiding staples profile. Negative body shape-related belief was related to the translation from the Varied diet profile to the Avoiding staples profile. Further, four profiles of PA, i.e., Inactives (51.0% at Time 1), Low activies (26.0% at Time 1), Moderate activies (15.3% at Time 1), and Activies (7.7% at Time 1), were identified at both timepoints. 50.8% remained the same profiles over time, 38.6% Inactivies shifted to the other profiles, and 48.5% Activies shifted to the other profiles over time. Participants with higher self-efficacy showed an increase in PA over time, and those with lower self-efficacy and lower peer support showed a decrease in PA over time.
conclusionsOverall, most of college students remained the same food choices profiles, and body shape-related belief contributed to changes in food choices profiles. About half of college students experienced changes in PA, and the predictors of such changes were peer support and self-efficacy. The findings extend the understanding of the personal and interpersonal predictors of health behaviors among college students from a dynamic perspective.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.